Fix print test
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				|  | @ -587,7 +587,7 @@ factor 6: Discrete [m1 m0] | ||||||
|   // Expected output for hybridBayesNet.
 |   // Expected output for hybridBayesNet.
 | ||||||
|   string expected_hybridBayesNet = R"( |   string expected_hybridBayesNet = R"( | ||||||
| size: 3 | size: 3 | ||||||
| factor 0: Hybrid  P( x0 | x1 m0) | conditional 0: Hybrid  P( x0 | x1 m0) | ||||||
|  Discrete Keys = (m0, 2),  |  Discrete Keys = (m0, 2),  | ||||||
|  Choice(m0)  |  Choice(m0)  | ||||||
|  0 Leaf  p(x0 | x1) |  0 Leaf  p(x0 | x1) | ||||||
|  | @ -602,7 +602,7 @@ factor 0: Hybrid  P( x0 | x1 m0) | ||||||
|   d = [ -9.95037 ] |   d = [ -9.95037 ] | ||||||
|   No noise model |   No noise model | ||||||
| 
 | 
 | ||||||
| factor 1: Hybrid  P( x1 | x2 m0 m1) | conditional 1: Hybrid  P( x1 | x2 m0 m1) | ||||||
|  Discrete Keys = (m0, 2), (m1, 2),  |  Discrete Keys = (m0, 2), (m1, 2),  | ||||||
|  Choice(m1)  |  Choice(m1)  | ||||||
|  0 Choice(m0)  |  0 Choice(m0)  | ||||||
|  | @ -631,7 +631,7 @@ factor 1: Hybrid  P( x1 | x2 m0 m1) | ||||||
|   d = [ -10 ] |   d = [ -10 ] | ||||||
|   No noise model |   No noise model | ||||||
| 
 | 
 | ||||||
| factor 2: Hybrid  P( x2 | m0 m1) | conditional 2: Hybrid  P( x2 | m0 m1) | ||||||
|  Discrete Keys = (m0, 2), (m1, 2),  |  Discrete Keys = (m0, 2), (m1, 2),  | ||||||
|  Choice(m1)  |  Choice(m1)  | ||||||
|  0 Choice(m0)  |  0 Choice(m0)  | ||||||
|  |  | ||||||
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